Ludovica Griffanti
Orcid: 0000-0002-0540-9353
According to our database1,
Ludovica Griffanti
authored at least 27 papers
between 2011 and 2023.
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Bibliography
2023
Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.
NeuroImage, March, 2023
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.
Frontiers Neuroinformatics, March, 2023
2022
Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy.
NeuroImage, 2022
Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.
NeuroImage, 2021
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.
Medical Image Anal., 2021
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.
Medical Image Anal., 2021
Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Frontiers Neuroinformatics, 2021
2020
Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study.
NeuroImage, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.
NeuroImage, 2019
Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.
NeuroImage, 2019
2018
Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults.
NeuroImage, 2018
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank.
NeuroImage, 2018
2017
2016
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
NeuroImage, 2016
Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease.
NeuroImage, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2014
Brain functional connectivity in resting state : methods for networks identification and noise separation in healthy subjects and Alzheimer's disease.
PhD thesis, 2014
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers.
NeuroImage, 2014
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
NeuroImage, 2014
2013
2012
Signal-to-noise ratio of diffusion weighted magnetic resonance imaging: Estimation methods and in vivo application to spinal cord.
Biomed. Signal Process. Control., 2012
A novel approach of fMRI-guided tractography analysis within a group: Construction of an fMRI-guided tractographic atlas.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Comparison between skeleton-based and atlas-based approach in the assessment of corpus callosum damages in Mild Cognitive Impairment and Alzheimer Disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011